Computerized Decision Support Systems (CDSS) in healthcare represent a significant advancement in medical informatics to aid clinicians in decision-making tasks. These systems integrate health information, patient data, and an evolving medical knowledge base to generate case-specific advice or recommendations. By analyzing large datasets and applying algorithms, computerized decision support systems (CDSS) can help diagnose diseases, suggest treatment options, and predict potential complications. They are particularly beneficial in managing complex conditions where integrating and interpreting various data types is challenging. Additionally, computerized decision support systems (CDSS) can enhance patient safety by alerting healthcare providers to potential medication errors or adverse interactions. Integrating computerized decision support systems (CDSS) into Electronic Health Records (EHRs) further streamlines the workflow, leading to more efficient and informed healthcare delivery. However, the success of these systems depends on their accuracy, usability, and the quality of the underlying data, as well as the willingness of healthcare professionals to adopt and effectively utilize them.